Large-scale Learning with SVM and Convolutional for Generic Object Categorization (original) (raw)
Related papers
Large-scale Learning with SVM and Convolutional Nets for Generic Object Categorization
A supervised learning framework for generic object detection in images
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005
Learning methods for generic object recognition with invariance to pose and lighting
2004
Meta-Class Features for Large-Scale Object Categorization on a Budget
Contemplating real-world object classification
ArXiv, 2021
Deep Features for Training Support Vector Machines
Journal of Imaging, 2021
Toward Category-Level Object Recognition
Lecture Notes in Computer Science, 2006
Learning From a Small Number of Training Examples by Exploiting Object Categories
2004 Conference on Computer Vision and Pattern Recognition Workshop, 2004
Unsupervised and Transfer Learning under Uncertainty-From Object Detections to Scene Categorization
Object Detection & Categorization with Deep Learning
International Journal for Research in Applied Science & Engineering Technology, 2021
Workshop on Generic Object Recognition and Categorization
2004
Hybrid Classifiers for Object Classification with a Rich Background
Lecture Notes in Computer Science, 2012
Generic Visual Categorization Using Weak Geometry
2006
Multiple kernels for object detection
Computer Vision, 2009 …, 2009
Convolutional Network Features for Scene Recognition
Proceedings of the ACM International Conference on Multimedia - MM '14, 2014
Object recognition with hierarchical kernel descriptors
CVPR 2011, 2011
Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts
2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007
Learning object representations for visual object class recognition
H. Harzallah, Joost van de Weijer
2007
Large-scale scene image categorisation with deep learning-based model
International Journal of Computational Vision and Robotics, 2020
Support Kernel Machines for Object Recognition
2007
An Optimized Approach to Vehicle-Type Classification Using a Convolutional Neural Network
Computers, Materials & Continua
Generic object recognition by combining distinct features in machine learning
2005
Convolutional Models for Joint Object Categorization and Pose Estimation
ArXiv, 2015
An ensemble of deep support vector machines for image categorization
Marco A. Wiering, Azizi Abdullah
2009
Object Recognition in Dynamic Environments with Convolutional Neural Networks
2018
Unsupervised Learning of Semantics of Object Detections for Scene Categorization
Advances in Intelligent Systems and Computing, 2014
Image Classification using Deep Learning with Support Vector Machines
Training-Free, Generic Object Detection Using Locally Adaptive Regression Kernels
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
Objects as Attributes for Scene Classification
Lecture Notes in Computer Science, 2012